Developing a Time-Efficient Model for Solid Oxide Fuel Cells Using Self-Supervised Convolutional Autoencoder and Stateful LSTM Network. - Mohamadali Tofigh; Z. Salehi; Daniel J. Smith; Ali Kharazmi; A. R. Hanifi; Charles Robert Koch; Mahdi Shahbakhti (ACC, 2024)

Temporal dilated convolution and nonlinear autoregressive network for predicting solid oxide fuel cell performance. - Mohamadali Tofigh; Ali Kharazmi; Daniel J. Smith; Charles Robert Koch; Mahdi Shahbakhti (Eng. Appl. Artif. Intell., 2024)